Wednesday, October 29, 2025
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Virtual Internship: Data Analysis & Data Science; Deadline Sept 20

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Soft Nexis Technology has launched a new virtual internship program in Data Analysis and Data Science using Python, opening doors for learners across India.

The internship, announced on September 18, 2025, is designed to begin immediately and will run for a duration of two months.

Deadline: Interested candidates can apply until September 20, 2025

The program aims to bridge the gap between academic learning and practical application, offering hands-on experience to beginners, intermediate learners, and advanced professionals alike.

With the growing importance of data-driven decision-making across industries, the internship provides exposure to the essential tools and techniques of Python for data science and analytics.

Although the program does not offer a stipend or academic credits, participants will receive significant professional benefits.

These include an official offer letter at the commencement of the internship, a Certificate of Internship upon successful completion, and a Letter of Recommendation based on performance. Such credentials are intended to enhance participants’ career prospects and skill validation.

Soft Nexis Technology emphasizes its commitment to providing high-quality learning and career development opportunities through a strong network of interns and professionals. This initiative reflects the company’s focus on boosting practical skills and confidence among learners in the evolving technology sector.

Candidates from any academic background and specialization are eligible to apply, provided they possess relevant skills and interests. Since the internship is conducted virtually, it is open to applicants nationwide.

Applicants are required to ensure their resumes are uploaded during the application process. Those interested can apply directly through the company’s official portal at AICTE Internship Portal.

This internship offers aspiring professionals an opportunity to gain valuable experience in data science, preparing them for future roles in one of the most in-demand industries today.


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